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Statistical learning theory and stochastic optimization : Ecole d'Eté de Probabilités de Saint-Flour XXXI-2001

著者: Olivier Catoni; Jean Picard; LINK (Online service)
出版社: Berlin : Springer-Verlag, ©2004.
シリーズ: Lecture notes in mathematics (Springer-Verlag), 1851.
エディション/フォーマット:   電子書籍 : Document : Conference publication : Englishすべてのエディションとフォーマットを見る
データベース:WorldCat
概要:
Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an audience with a graduate background in probability theory and statistics. It will be useful to any reader wondering why it may be a good idea, to use as is often done in practice a notoriously "wrong'' (i.e. over-simplified) model to predict, estimate or classify. This point of view takes  続きを読む
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ジャンル/形式: Electronic books
Conference papers and proceedings
Congresses
その他のフォーマット: Print version:
Catoni, Olivier.
Statistical learning theory and stochastic optimization.
Berlin : Springer-Verlag, ©2004
(DLC) 2004109143
(OCoLC)56714791
資料の種類: Conference publication, Document, インターネット資料
ドキュメントの種類 インターネット資料, 電子ファイル
すべての著者/寄与者: Olivier Catoni; Jean Picard; LINK (Online service)
ISBN: 9783540445074 3540445072
OCLC No.: 56508135
メモ: " ... 31st Probability Summer School in Saint-Flour (July 8-25, 2001) ..."--Preface.
物理形態: 1 online resource (viii, 272 pages) : illustrations.
コンテンツ: Universal Lossless Data Compression --
Links Between Data Compression and Statistical Estimation --
Non Cumulated Mean Risk --
Gibbs Estimators --
Randomized Estimators and Empirical Complexity --
Deviation Inequalities --
Markov Chains with Exponential Transitions --
References --
Index.
シリーズタイトル: Lecture notes in mathematics (Springer-Verlag), 1851.
その他のタイトル: Ecole d'Eté de Probabilités de Saint-Flour XXXI-2001
責任者: Olivier Catoni ; editor, Jean Picard.

概要:

e. over-simplified) model to predict, estimate or classify. This point of view takes its roots in three fields: information theory, statistical mechanics, and PAC-Bayesian theorems. Results on the  続きを読む

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From the reviews:"This book is based on a course of lectures given by the author on a circle of ideas lying at the interface of information theory, statistical learning theory and statistical 続きを読む

 
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